Junior AI Engineer

Location: Washington, District of Columbia, US
Recruiter: Mindlance
Date posted: Saturday, November 15, 2025

 

Job Description:

About Mindlance:

Founded in 1999 , Mindlance has been ranked as one of the fastest growing US Staffing firms by SIA for 9 consecutive years. We provide workforce solutions to Global 1000 companies in Technology, Engineering, Finance, Clinical Research, Scientific, Digital/Creative/Marketing space.

Mindful of the opportunity gap, we provide balanced solutions for both employers and job seekerselevating the standards of recruitment practice to a whole new level . Our aim is to make a difference in the lives of job seekers by providing them with opportunities that broaden career horizons and expand skill sets. We take pride in being a strong driver of mindfulness and balance at workplace.

EEO:

Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.

Job Title: Junior AI Engineer

Job Category: Information Technology

Industry: Banking - Financial Services

Job Location: Washington DC (Hybrid)

Zip Code: 20433

Top 3/5 Skills: Artificial Intelligence, Machine Learning, Python, SQL

Min & Max Pay Rate (Ex: $20.00 /hr. $23.00/hr.)

Job Title: Junior AI Engineer

Location: Washington, DC (Hybrid)

Job Description

Quintrix is seeking passionate engineers looking to advance their careers in AI and Machine Learning with a prestigious client in the banking and financial services. This opportunity includes a comprehensive 4-week online pre-employment training program, designed to fit your schedule with 15 hours per week of instruction held after business hours. Participants who successfully complete the pre-employment training will receive a $500 stipend, along with in-demand skills, hands-on experience, and a clear pathway into a dynamic tech role.

Objectives:

To assist in the design, development, and implementation of AI models and solutions that align with organizational objectives.

To contribute to the evaluation, testing, and optimization of AI algorithms and software components.

To support data processing and management tasks essential for AI workflows.

To continually enhance technical skills and stay abreast of AI advancements.

Key Responsibilities (to be covered during training):

Model Development: Assist in building, training, and validating machine learning and deep learning models under supervision.

Data Handling: Collect, preprocess, clean, and organize datasets required for training and evaluation of AI models.

Algorithm Implementation: Translate theoretical AI concepts into practical code in languages such as Python, TypeScript, or Java.

Testing & Evaluation: Participate in designing tests, evaluating model accuracy, and reporting results to the team.

Documentation: Create clear, concise documentation for code, model architectures, and processes for internal use.

Collaboration: Work closely with senior engineers, data scientists, and stakeholders to understand requirements and deliver assigned tasks.

Deployment Support: Assist in deploying AI models and services to production environments under guidance.

Maintenance: Monitor performance of deployed models and report any issues or anomalies for resolution.

Learning & Development: Actively participate in internal training sessions, workshops, and other learning opportunities to advance AI knowledge.

 

Apply for this job on Mindlance